Math 2.0

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Elementary Numerical Analysis HM5Q4PFE8E

URIm2://res/HM5Q4PFE8E
Kindcourse
CreatorsRekha P. Kulkarni (instructor)
Date2015-01-07
Scopein
Idscourse 02qyf5152:111101003

Expressions

e1: edition

Languageen
Date2015-01-07
Contents
  • part 1: Elementary Numerical Analysis
  • session 1: L1- Introduction
  • session 2: L2-Polynomial Approximation
  • session 3: L3-Interpolating Polynomials
  • session 4: L4-Properties of Divided Difference
  • session 5: L5-Error in the Interpolating polynomial
  • session 6: L6-Cubic Hermite Interpolation
  • session 7: L7-Piecewise Polynomial Approximation
  • session 8: L8-Cubic Spline Interpolation
  • session 9: L9-Tutorial 1
  • session 10: L10-Numerical Integration: Basic Rules
  • session 11: L11-Composite Numerical Integration
  • session 12: L12-Gauss 2-point Rule: Construction
  • session 13: L13-Gauss 2-point Rule: Error
  • session 14: L14-Convergence of Gaussian Integration
  • session 15: L15-Tutorial 2
  • session 16: L16-Numerical Differentiation
  • session 17: L17-Gauss Elimination
  • session 18: L18-L U decomposition
  • session 19: L19-Cholesky decomposition
  • session 20: L20-Gauss Elimination with partial pivoting
  • session 21: L21-Vector and Matrix Norms
  • session 22: L22-Perturbed Linear Systems
  • session 23: L23-Ill-conditioned Linear System
  • session 24: L24-Tutorial 3
  • session 25: L25-Effect of Small Pivots
  • session 26: L26-Solution of Non-linear Equations
  • session 27: L27-Quadratic Convergence of Newton's Method
  • session 28: L28-Jacobi Method
  • session 29: L29-Gauss-Seidel Method
  • session 30: L30-Tutorial 4
  • session 31: L31-Initial Value Problem
  • session 32: L32-Multi-step Methods
  • session 33: L33-Predictor-Corrector Formulae
  • session 34: L34-Boundary Value Problems
  • session 35: L35-Eigenvalues and Eigenvectors
  • session 36: L36-Spectral Theorem
  • session 37: L37-Power Method
  • session 38: L38-Inverse Power Method
  • session 39: L39-Q R Decomposition
  • session 40: L40-Q R Method

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